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A microfluidic biosensor architecture for the rapid detection of COVID-19.
Muhsin, Sura A; He, Ying; Al-Amidie, Muthana; Sergovia, Karen; Abdullah, Amjed; Wang, Yang; Alkorjia, Omar; Hulsey, Robert A; Hunter, Gary L; Erdal, Zeynep K; Pletka, Ryan J; George, Hyleme S; Wan, Xiu-Feng; Almasri, Mahmoud.
Afiliación
  • Muhsin SA; Department of Electrical Engineering and Computer Science, College of Engineering, University of Missouri, 411 S 6th St, Columbia, Mo, 65211, USA.
  • He Y; Center for Influenza and Emerging Infectious Diseases, Department of Molecular Microbiology and Immunology, School of Medicine, Bond Life Sciences Center, University of Missouri, 1201 Rollins St, Columbia, MO, 65211, USA; Department of Molecular Microbiology and Immunology, School of Medicine, Unive
  • Al-Amidie M; Department of Electrical Engineering and Computer Science, College of Engineering, University of Missouri, 411 S 6th St, Columbia, Mo, 65211, USA.
  • Sergovia K; Center for Influenza and Emerging Infectious Diseases, Department of Molecular Microbiology and Immunology, School of Medicine, Bond Life Sciences Center, University of Missouri, 1201 Rollins St, Columbia, MO, 65211, USA; Department of Molecular Microbiology and Immunology, School of Medicine, Unive
  • Abdullah A; Department of Electrical Engineering and Computer Science, College of Engineering, University of Missouri, 411 S 6th St, Columbia, Mo, 65211, USA.
  • Wang Y; Center for Influenza and Emerging Infectious Diseases, Department of Molecular Microbiology and Immunology, School of Medicine, Bond Life Sciences Center, University of Missouri, 1201 Rollins St, Columbia, MO, 65211, USA; Department of Molecular Microbiology and Immunology, School of Medicine, Unive
  • Alkorjia O; Department of Electrical Engineering and Computer Science, College of Engineering, University of Missouri, 411 S 6th St, Columbia, Mo, 65211, USA.
  • Hulsey RA; Black and Veatch, 11401 Lamar, Overland Park, KS, 66211, USA.
  • Hunter GL; Black and Veatch, 201 Brookfield Parkway, Suite 150, Greenville, SC, 29607, USA.
  • Erdal ZK; Black and Veatch, 201 Brookfield Parkway, Suite 150, Greenville, SC, 29607, USA.
  • Pletka RJ; Black and Veatch, 2999 Oak Road, Suite 490, Walnut Creek, CA, 94597, USA.
  • George HS; Black and Veatch, 11401 Lamar, Overland Park, KS, 66211, USA.
  • Wan XF; Department of Electrical Engineering and Computer Science, College of Engineering, University of Missouri, 411 S 6th St, Columbia, Mo, 65211, USA; Center for Influenza and Emerging Infectious Diseases, Department of Molecular Microbiology and Immunology, School of Medicine, Bond Life Sciences Center
  • Almasri M; Department of Electrical Engineering and Computer Science, College of Engineering, University of Missouri, 411 S 6th St, Columbia, Mo, 65211, USA. Electronic address: almasrim@missouri.edu.
Anal Chim Acta ; 1275: 341378, 2023 Sep 22.
Article en En | MEDLINE | ID: mdl-37524456
ABSTRACT
The lack of enough diagnostic capacity to detect severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) has been one of the major challenges in the control the 2019 COVID pandemic; this led to significant delay in prompt treatment of COVID-19 patients or accurately estimate disease situation. Current methods for the diagnosis of SARS-COV-2 infection on clinical specimens (e.g. nasal swabs) include polymerase chain reaction (PCR) based methods, such as real-time reverse transcription (rRT) PCR, real-time reverse transcription loop-mediated isothermal amplification (rRT-LAMP), and immunoassay based methods, such as rapid antigen test (RAT). These conventional PCR methods excel in sensitivity and specificity but require a laboratory setting and typically take up to 6 h to obtain the results whereas RAT has a low sensitivity (typically at least 3000 TCID50/ml) although with the results with 15 min. We have developed a robust micro-electro-mechanical system (MEMS) based impedance biosensor fit for rapid and accurate detection of SARS-COV-2 of clinical samples in the field with minimal training. The biosensor consisted of three regions that enabled concentrating, trapping, and sensing the virus present in low quantities with high selectivity and sensitivity in 40 min using an electrode coated with a specific SARS-COV-2 antibody cross-linker mixture. Changes in the impedance value due to the binding of the SARS-COV-2 antigen to the antibody will indicate positive or negative result. The testing results showed that the biosensor's limit of detection (LoD) for detection of inactivated SARS-COV-2 antigen in phosphate buffer saline (PBS) was as low as 50 TCID50/ml. The biosensor specificity was confirmed using the influenza virus while the selectivity was confirmed using influenza polyclonal sera. Overall, the results showed that the biosensor is able to detect SARS-COV-2 in clinical samples (swabs) in 40 min with a sensitivity of 26 TCID50/ml.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Técnicas Biosensibles / COVID-19 Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Anal Chim Acta Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Técnicas Biosensibles / COVID-19 Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Anal Chim Acta Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos